Author

Faculty Advisor

Ciaraldi, Michael J.

Faculty Advisor

Duckworth, R. James

Abstract

This project implemented a system for performing augmented reality on a Xilinx Zync FPGA. Augmented and virtual reality is a growing field currently dominated by desktop computer based solutions, and FPGAs offer unique advantages in latency, performance, bandwidth, and portability over more traditional solutions. The parallel nature of FPGAs also create a favorable platform for common types of video processing and machine vision algorithms. The project uses two OV7670 cameras mounted on the front of an Oculus Rift DK2. A video pipeline is designed around an Avnet ZedBoard, which has a Zynq 7020 SoC/FPGA. The system aimed to highlight moving objects in front of the user.

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